Keywords AI

Braintrust vs Datadog LLM

Compare Braintrust and Datadog LLM side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

	Braintrust	Datadog LLM
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	Freemium	Enterprise
Best For	AI teams who need a unified platform for logging, evaluating, and improving LLM applications	Enterprise teams already using Datadog who want to add LLM monitoring
Website	braintrust.dev	datadoghq.com
Key Features	Real-time LLM logging and tracing Built-in evaluation framework Prompt playground Dataset management Human review workflows	LLM monitoring within Datadog platform Unified APM + LLM observability Automatic instrumentation Cost and token tracking Integration with existing Datadog dashboards
Use Cases	Iterating on prompts with real production data Running evaluations across model versions Building golden datasets from production traffic Human-in-the-loop review of LLM outputs Cost and latency optimization	Unified monitoring for AI and traditional services Enterprise LLM monitoring at scale Correlating LLM performance with infrastructure Compliance and audit logging Large-scale production monitoring

When to Choose Braintrust vs Datadog LLM

Choose Braintrust if you need

Iterating on prompts with real production data
Running evaluations across model versions
Building golden datasets from production traffic

Pricing: Freemium

Choose Datadog LLM if you need

Unified monitoring for AI and traditional services
Enterprise LLM monitoring at scale
Correlating LLM performance with infrastructure

Pricing: Enterprise

About Braintrust

Braintrust is an end-to-end AI product platform trusted by companies like Notion, Stripe, and Vercel. It combines logging, evaluation datasets, prompt management, and an AI proxy with automatic caching and fallback. Braintrust's evaluation framework helps teams measure quality across prompt iterations with customizable scoring functions.

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About Datadog LLM

Datadog's LLM Observability extends its industry-leading APM platform to AI applications. It provides end-to-end tracing from LLM calls to infrastructure metrics, prompt and completion tracking, cost analysis, and quality evaluation—all integrated with Datadog's existing monitoring, logging, and alerting stack. Ideal for enterprises already using Datadog who want unified observability across traditional and AI workloads.

View Datadog LLM profile →Visit website

What is Observability, Prompts & Evals?

Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.

Browse all Observability, Prompts & Evals tools →